Triple

T17717115
Position Surface form Disambiguated ID Type / Status
Subject Thari Sindhi E442227 entity
Predicate closelyRelatedTo P37 FINISHED
Object Dhatki NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dhatki | Statement: [Thari Sindhi, closelyRelatedTo, Dhatki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhatki
Context triple: [Thari Sindhi, closelyRelatedTo, Dhatki]
  • A. Dhatki chosen
    Dhatki is an Indo-Aryan language variety spoken primarily in parts of Rajasthan, India, and neighboring regions of Pakistan, often considered a dialect within the broader Rajasthani language continuum.
  • B. Jhakri
    Jhakri is a small town in Himachal Pradesh, India, known primarily for its proximity to the Nathpa Jhakri hydroelectric dam on the Sutlej River.
  • C. Khadki
    Khadki is the historical name of the Indian city now known as Aurangabad in Maharashtra.
  • D. Bhokar
    Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
  • E. Ghatanji
    Ghatanji is a town in the Yavatmal district of Maharashtra, India, known for its local markets and surrounding agricultural region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.